7 papers
Reducing Complexity for Quantum Approaches in Train Load Optimization
Zhijie Tang, Albert Nieto-Morales, Arit Kumar Bishwas
Efficiently planning container loads onto trains is a computationally challenging combinatorial optimization problem, central to logistics and supply chain management. A primary so…
One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries
Mayank Saini, Arit Kumar Bishwas
We present an agentic AI framework for autonomous multimodal query processing that coordinates specialized tools across text, image, audio, video, and document modalities. A centra…
Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence
Arit Kumar Bishwas, Mousumi Sen, Albert Nieto-Morales +1
As agentic artificial intelligence systems scale across globally distributed and long lived infrastructures, secure and policy compliant communication becomes a fundamental systems…
A framework to evaluate the performance of Variational Quantum Algorithms
Ernesto Mamedaliev, Vladyslav Libov, Albert Nieto-Morales +2
Variational Quantum Algorithms (VQAs) are promising methods for solving combinatorial optimization problems on noisy intermediate-scale quantum (NISQ) devices. However, benchmarkin…
Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models
Mayank Saini, Arit Kumar Bishwas
As AI moves beyond text, large language models (LLMs) increasingly power vision, audio, and document understanding; however, their high inference costs hinder real-time, scalable d…
Quantum-enabled framework for the Advanced Encryption Standard in the post-quantum era
Albert Nieto-Morales, Arit Kumar Bishwas, Joel Jacob Varghese
The Advanced Encryption Standard (AES)-256 remains resistant to known quantum key-search attacks when keys are uniformly generated. We present quantum-enabled AES (QE-AES), a key-m…